49 AI tools across 9 MCP servers. Enterprise AGI Runtime (1,054 tests). Free tier. ☕ buymeacoffee.com/yesinyagami
If you already use OpenClaw Intel MCP, the openclaw intel mcp mcp server is the piece that lets your assistant work with it directly. 49 AI tools across 9 MCP servers. Enterprise AGI Runtime (1,054 tests). Free tier. ☕ buymeacoffee.com/yesinyagami.
49 AI tools across 9 MCP servers. Enterprise AGI Runtime (1,054 tests). Free tier. ☕ buymeacoffee.com/yesinyagami
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Server — DescriptionCompliance — EU AI Act compliance checkerFinance — FinanceOS MCP with 26 testsMemory — Unified 3-layer memory systemAnalytics — Real-time analytics dashboardContent — AI content generation engineWebhook — Central webhook receiverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. OpenClaw Intel MCP's toolset — Server, Compliance, Finance and 4 more — is a fair guide to whether it matches your workflow. It is maintained by yedanyagamiai-cmd; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against OpenClaw Intel MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Server | Description |
| Compliance | EU AI Act compliance checker |
| Finance | FinanceOS MCP with 26 tests |
| Memory | Unified 3-layer memory system |
| Analytics | Real-time analytics dashboard |
| Content | AI content generation engine |
| Webhook | Central webhook receiver |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.